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Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis

The purpose of this study was to evaluate the performance of the deep convolutional neural network (DCNN) in differentiating between tuberculous and pyogenic spondylitis on magnetic resonance (MR) imaging, compared to the performance of three skilled radiologists. This clinical retrospective study u...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Sci Rep
Main Authors: Kim, Kiwook, Kim, Sungwon, Lee, Young Han, Lee, Seung Hyun, Lee, Hye Sun, Kim, Sungjun
פורמט: Artigo
שפה:Inglês
יצא לאור: Nature Publishing Group UK 2018
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC6120953/
https://ncbi.nlm.nih.gov/pubmed/30177857
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-31486-3
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